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VaruniAlwis

plsql-test-mcp

by VaruniAlwis

runPlsqlTestWorkflow

Checks testability, annotates or generates PL/SQL unit tests, and optionally prepares a test run via ifs-f1-codegen-dev.

Instructions

End-to-end workflow: check testability → annotate if needed OR generate pltst → optionally prepare test run via ifs-f1-codegen-dev.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jiraKeyNo
confirmedNo
workspaceNo
methodNameNo
sourceFileYes
environmentKeyNo
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosure. It mentions the workflow steps but fails to disclose behavioral traits such as whether the tool creates or modifies files, required permissions, side effects, or output specifics. The phrase 'optionally prepare test run' is vague.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that uses a bullet-like list structure (→) which aids readability, but it is somewhat lengthy and not front-loaded with the primary action. It could be more concise without losing essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a workflow tool with 6 parameters and no output schema, the description is incomplete. It outlines steps but does not explain the workflow's outcome, return value, or how to interpret results. Critical context for agent decision-making is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 6 parameters (3 required) and 0% description coverage. The description does not explain the purpose or expected values for any parameter (e.g., sourceFile, jiraKey, confirmed). This leaves the agent without vital usage context, making correct invocation difficult.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description outlines a multi-step workflow (check testability, annotate or generate, optionally prepare test run) which clearly specifies the tool's purpose and distinguishes it from siblings like checkUnitTestability or generateUnitTest. However, it lacks a concise single-sentence summary of the tool's main function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for an end-to-end workflow, but it does not provide explicit guidance on when to use it versus alternative tools (e.g., when to use runPlsqlTestWorkflow instead of runUnitTest). No when-not-to-use or prerequisite information is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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